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Discussion of “multivariate functional outlier detection” by M. Hubert, P. Rousseeuw and P. Segaert

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Abstract

This paper aims at discussing the interesting paper of Hubert et al. (Stat Methods Appl Appear, 2015), where a taxonomy of functional outliers and both numerical and graphical techniques for outlier detection for multivariate functional data are proposed. The reading has been really pleasant and instructive. We contribute to the discussion of the paper by Hubert et al. (2015), by discussing some points related to the extension of depth measures to the multivariate functional framework, by examining the fine line between outlier detection and classification and finally by pointing out some relevant open problems.

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Authors and Affiliations

  1. ADAMSS Center and Department of Mathematics “F. Enriques”, Università degli Studi di Milano, via Saldini 50, 20133, Milan, Italy

    Francesca Ieva

  2. MOX - Department of Mathematics, Politecnico di Milano, via Bonardi 9, 20133, Milan, Italy

    Anna Maria Paganoni

Authors
  1. Francesca Ieva
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  2. Anna Maria Paganoni
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Correspondence to Anna Maria Paganoni.

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Ieva, F., Paganoni, A.M. Discussion of “multivariate functional outlier detection” by M. Hubert, P. Rousseeuw and P. Segaert. Stat Methods Appl 24, 217–221 (2015). https://doi.org/10.1007/s10260-015-0303-1

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  • DOI: https://doi.org/10.1007/s10260-015-0303-1

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